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Learn Python, JavaScript, and Microsoft SQL for Data science

4 enrolled 22h 8m of learning Updated Nov 2026
CertificateOn completion
22h 8mSelf-paced
80 lessonsOn the UISC learning portal
All LevelsNo prior training needed

Course curriculum

1 modules 80 lessons 22h 8m total
01 Learn Python, JavaScript, and Microsoft SQL for Data science 80 lessons
  1. Introduction
  2. How to ask great questions
  3. Installing Code Editor
  4. What is JavaScript
  5. Hello World Program
  6. Getting Output
  7. Internal JavaScript
  8. External JavaScript
  9. Inline JavaScript
  10. Async and defer
  11. Variables
  12. Data Types
  13. Numbers
  14. Strings
  15. String Formatting
  16. Arithmetic operators
  17. Assignment operators
  18. Comparison operators
  19. Logical operators
  20. If-else statement
  21. If-else-if statement
  22. While loop
  23. Do-while loop
  24. For loop
  25. Coding Exercise
  26. Solution for Coding Exercise
  27. Creating a Function
  28. Function Call()
  29. Function with parameters
  30. Try-catch
  31. Try-catch-finally
  32. On Submit Validation
  33. Input Numeric Validation
  34. Introduction to Python
  35. Python vs. Other Languages
  36. Why Its Popular
  37. Command Line Basics
  38. Python Installation (Step By Step)
  39. PyCharm IDE Installation
  40. Getting Start PyCharm IDE
  41. First Python Hello World Program
  42. Type Casting
  43. User Inputs
  44. Comments
  45. String Indexing
  46. String Slicing
  47. String Built-in Functions
  48. Formatting String (Dynamic Data)
  49. Arithmetic Operators
  50. Assignment Operators
  51. Comparison Operators
  52. Logical Operators
  53. AND Operator
  54. OR Operator
  55. NOT Operator
  56. Booleans
  57. Arrays in Earlier
  58. Lists
  59. Add List Items
  60. Remove List Items
  61. Sort Lists
  62. Join Lists
  63. Tuples
  64. Update tuples
  65. Join tuples
  66. Dictionaries
  67. Add Dictionary Items
  68. Remove Dictionary Items
  69. Nested Dictionaries
  70. Sets
  71. Add Set Items
  72. Remove Set Items
  73. Join Set Items
  74. If Statement
  75. If-else Statement
  76. If-elif-else Statement
  77. If Statement Coding Exercise
  78. Flow Charts
  79. While Loops Statement
  80. For Loops Statement

About this course

Overview: Learn Python, JavaScript, and Microsoft SQL for Data science

Welcome to "Learn Python, JavaScript, and Microsoft SQL for Data Science"! This comprehensive course is your ultimate guide to mastering three essential technologies for data science: Python, JavaScript, and Microsoft SQL. Python serves as the primary language for data analysis and machine learning, while JavaScript enables interactive data visualization on the web. Microsoft SQL is a powerful relational database management system widely used for storing and querying data. By combining these three technologies, you'll gain the skills and knowledge needed to excel in the field of data science.

  • Interactive video lectures by industry experts
  • Instant e-certificate
  • Fully online, interactive course with Professional voice-over
  • Developed by qualified first aid professionals
  • Self paced learning and laptop, tablet, smartphone friendly
  • 24/7 Learning Assistance
  • Discounts on bulk purchases

Main Course Features:

  • In-depth coverage of Python fundamentals for data analysis and machine learning
  • Hands-on projects and exercises to reinforce Python programming skills
  • Exploration of JavaScript libraries like D3.js for data visualization
  • Implementation of interactive data visualizations using JavaScript
  • Thorough understanding of Microsoft SQL for data storage and querying
  • Writing SQL queries to retrieve and manipulate data in Microsoft SQL Server
  • Real-world case studies and examples to demonstrate the integration of Python, JavaScript, and SQL in data science projects
  • Access to a supportive online community for collaboration and assistance

Who Should Take This Course:

  • Aspiring data scientists seeking to build a strong foundation in essential technologies for data science
  • Programmers and developers interested in expanding their skill set to include Python, JavaScript, and SQL for data analysis and visualization
  • Students and professionals aiming to pursue a career in data science or related fields

Learning Outcomes:

  • Master Python programming for data analysis, machine learning, and data manipulation
  • Develop interactive data visualizations using JavaScript libraries like D3.js
  • Utilize Microsoft SQL for data storage, retrieval, and manipulation
  • Write complex SQL queries to extract insights from relational databases
  • Integrate Python, JavaScript, and SQL for end-to-end data science projects
  • Build a portfolio of data science projects showcasing proficiency in Python, JavaScript, and SQL
  • Debug and troubleshoot code effectively in Python, JavaScript, and SQL environments
  • Stay updated with the latest trends and advancements in data science and technology.

Certification

Once you’ve successfully completed your course, you will immediately be sent a digital certificate. All of our courses are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Assessment

At the end of the Course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven’t, there’s no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself.

Your certificate

CPD certificate — download it when you finish

Issued the moment you complete the final module. Every certificate lists the course aims and objectives, anticipated learning outcomes, the quality-assurance process — the elements required for verifiable CPD. Non-registrants can use it as CQC training evidence and for appraisals.

Aims & objectives Learning outcomes Unique certificate number

Common questions

Where do I take the course?

On the UISC learning portal. "Enrol now" takes you to this course there, where you pay securely, get your login and study at your own pace. Your certificate is issued there when you finish.

When can I start?

Immediately. Access opens the moment your order is confirmed and you can learn from any device, in any order, as many times as you like.

How is the course assessed?

A short multiple-choice or scenario-based assessment at the end of the course with instant results. You can retake it as many times as you need at no extra cost.

Can I enrol my whole team?

Yes. Organisations can buy multiple places on one invoice and receive a training record for every learner. Contact us for team pricing.

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